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An Introduction to General-Purpose GPU Programming, Published By Addison-Wesley Professional

^{Published on 2010-07-30 10:20:47 - Market Wire}
 

NEW YORK--([ BUSINESS WIRE ])--CUDA By Example: An Introduction to General-Purpose GPU Programming, authored by NVIDIAa™s Jason Sanders and Edward Kandrot, is being published this week by Addison-Wesley Professional.

"This book is required reading for anyone working with accelerator-based computing systemsa It is especially useful for application developers, numerical library writers, and students and teachers of parallel computing."

The book shows how to write high-performance programs that run on the parallel architecture of graphics processing units (GPUs).

NVIDIA (NASDAQ: NVDA), a leading company in visual computing, invented and continues to develop GPUs. NVIDIA launched CUDA in 2006 as a parallel computing architecture that facilitates the use of GPUs for general computation in addition to graphics applications.

Parallel computing is a form of computation in which many calculations are carried out simultaneously. It operates on the principle that large problems can often be divided into smaller ones, which are then solved concurrently. Parallel computing is utilized to address a wide range of computational challenges.

Today tens of thousands of developers, scientists and researchers are writing CUDA-based parallel computing applications in areas such as seismic data analysis, financial modeling, medical imaging and weather forecasting, to name a few.

Co-authors Sanders and Kandrot build on the readera™s C programming experience by providing an example-driven, quick-start guide to the CUDA C environment (CUDA C is the C programming language with extensions that allow for the programming of massively parallel machines).

Book Overview:

• Introduces CUDA development through working examples
• Includes a quick-start guide to CUDA C
• Provide details on techniques and trade-offs.

For a complete Table of Contents and a sample chapter from the book (Chap. 4: aParallel Programming in CUDA Ca), please visit: [ www.informit.com/title/0131387685 ]

For source code, please visit: [ http://developer.nvidia.com/object/cuda-by-example.html ]

Advance Praise

aThis book is required reading for anyone working with accelerator-based computing systemsa It is especially useful for application developers, numerical library writers, and students and teachers of parallel computing.a
a"From the Foreword by Jack Dongarra, University of Tennessee and Oak Ridge National Laboratory

Publisher Information

CUDA by Example, authored by Jason Sanders and Edward Kandrot, is published by Addison-Wesley Professional, ISBN 0131387685, Copyright 2011 NVIDIA Corp. Suggested retail price: U.S. $39.99.

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